|Articles||Cerrai, D., P. Watson and E.N. Anagnostou, Assessing the Effects of a Vegetation Management Standard on Distribution Grid Outage Rates, Electric Power Systems Research. [conditionally accepted]|
Cerrai, Diego, David Wanik et al. (2019). Predicting Storm Outages through New Representations of Weather and Vegetation. IEEE Access. PP. 1-1. 10.1109/ACCESS.2019.2902558. Link.
Ehsan Bhuiyan, M. A., E. I. Nikolopoulos and E. N. Anagnostou, Machine learning-based blending of satellite and reanalysis precipitation datasets: A multi-regional tropical complex terrain evaluation, Journal of Hydrometeorology. [submitted]
Koukoula, M., E.I. Nikolopoulos, J. Kushta, N.S. Bartsotas, G. Kallos, and E.N. Anagnostou, 2019: A Numerical Sensitivity Analysis of Soil Moisture Feedback on Convective Precipitation. J. Hydrometeor., 20, 23–44, https://doi.org/10.1175/JHM-D-18-0134.1. Link.
Lakew, Haileyesus Belay; Semu Ayalew Moges; Emmanouil N. Anagnostou et al. 2019. Evaluation of Global Water Resources Reanalysis Runoff Products for Local Water Resources Applications: A case of Upper Blue Nile Basin in Ethiopia. Water Resources Management. https://doi.org/10.1007/s11269-019-2190-y. Link.
McGraw, Daniel, Efthymios I. Nikolopoulos, Francesco Marra, Emmanouil N. Anagnostou. Precipitation frequency analyses based on radar estimates: An evaluation over the contiguous United States. Journal of Hydrology, Volume 573, 2019, Pages 299-310. ISSN 0022-1694, https://doi.org/10.1016/j.jhydrol.2019.03.032. Link.
Shen, Xinyi; D. Wang; K. Mao; E. Anagnostou; Y. Hong. Inundation Mapping By Microwave Remote Sensing Techniques: A Review. Remote Sensing. [accepted]
Shen, Xinyi; Emmanouil N. Anagnostou; et al. Near-real-time non-obstructed flood inundation mapping using synthetic aperture radar. Remote Sensing of Environment, Volume 221, 2019, Pages 302-315. ISSN 0034-4257, https://doi.org/10.1016/j.rse.2018.11.008. Link.
Xiaolong Ma, Wei Zhang, Amvrossios Bagtzoglou: Decomposition of Pole-wire System under Extreme wind for resilience assessment. [submitted]
Yang J., M. Astitha, C. Schwartz, Bayesian regression and dynamic ensemble towards improving storm predictions for NE US. Journal of Geophysical Research-Atmospheres [submitted]
Yang, F., D. Wanik, D. Cerrai, et al, The Importance of Events Database Representativeness in Modeling Weather-Related Outages with Machine Learning, IEEE Transactions on Smart Grid. [submitted]
Zhang, X. and E.N. Anagnostou, 2019: Evaluation of Numerical Weather Model–Based Satellite Precipitation Adjustment in Tropical Mountainous Regions. J. Hydrometeor., 20, 431–445, https://doi.org/10.1175/JHM-D-18-0008.1 . Link.
|Books & Chapters||Orekan, T. and P. Zhang, Underwater Wireless Power Transfer–Smart Ocean Energy Converters, Springer Nature Switzerland , 2019.|
|Articles||Borochin, P., and Y. Zhao, 2018: Identifying Recommended Funding Levels of Power Grid Resilience Programs, IEEE Transactions on Power Systems (in review).|
Bunce, Amanda, John C. Volin, David R. Miller, Jason Parent, Mark Rudnicki, 2018: UCONN Tree Sway Biomechanics Project (pre-thinning tree sway and weather data). Link.
Cerrai D., E.N. Anagnostou, et al., 2018: Improving Predictability of Storm Power Outages by Evaluating a New Representation of Weather and Vegetation in Non-parametric Modeling, International Journal of Forecasting (submitted).
Destro E., W. Amponsah, E.I. Nikolopoulos, L. Marchi, F. Marra, D. Zoccatelli and M. Borga, 2018: Coupled prediction of flash flood response and debris flow occurrence: application on an alpine extreme flood event, Journal of Hydrology, 558, 225-237.
Ehsan Bhuiyan, M. A. and Nikolopoulos, E. I. et al, 2018. Assessment of Precipitation Error Propagation in Multi-Model Global Water Resources Reanalysis. Hydrology and Earth System Sciences Discussions, Vol 2018, Pages 1-44. 10.5194/hess-2018-434. Link.
Li Y., P. Zhang, J. N. Debs, D. A. Ferrante, D. J. Kane, S. N. Woolard, R. Kalbfleisch, and K. B. Bowes, A Generic Method for the Determination of Non-Detection Zone in DER-Dominated Distribution Grids, IEEE PES General Meeting (under review).
Marra, F., E. Nikolopoulos, E.N. Anagnostou, and E. Morin, 2018: Metastatistical Extreme Value analysis of hourly rainfall from short records: estimation of high quantiles and impact of measurement errors, Advances in Water Resources, Volume 117, Pages 27-39. Link.
Nikolopoulos, Efthymios I., Elisa Destro, Md Abul Ehsan Bhuiyan, Marco Borga, and Emmanouil N. Anagnostou, 2018: Evaluation of predictive models for post-fire debris flows occurrence in the western United States, Nat. Hazards Earth Syst. Sci., 18, 2331-2343. Link.
Samalot, M. Astitha, J. Yang, G. Galanis, 2018: A combination of Kriging and Kalman filtering applied to wind speed prediction of storms for NE U.S. Weather and Forecasting. Minor revision, 1/22/2019.
Shen X., E.N. Anagnostou, and G.H. Allen, 2018: Near Real-Time (NRT) Flood Inundation Mapping by Synthetic Aperture Radar (SAR), Remote Sensing of Environment (in review).
Walsh, T., Layton, T., Wanik D. W., Mellor J., 2018: Agent Based Model to Estimate Time to Restoration of Storm-Induced Power Outages. Infrastructures Vol 3 (3), 33. Link.
Wanik, D.W., E.N. Anagnostou, M. Astitha, B.M. Hartman, G.M. Lackmann, J. Yang, D. Cerrai, J. He, and M.E. Frediani, 2018: A Case Study on Power Outage Impacts from Future Hurricane Sandy Scenarios. J. Appl. Meteor. Climatol., Vol 57, 51–79. Link.
Wanik D., E. N. Anagnostou, T. Layton, B. M. Hartman, 2018: Estimated Time of Restoration (ETR) Guidance for Electric Distribution Networks, Journal of Homeland Security and Emergency Management, Volume 15, Issue 1, 20160063, ISSN (Online) 1547-7355. Link.
Yang, J., M. Astitha, L. Delle Monache, and S. Alessandrini, 2018: An Analog Technique to Improve Storm Wind Speed Prediction Using a Dual NWP Model Approach. Mon. Wea. Rev., 146, 4057–4077. Link.
Yuan, H., W. Zhang, J. Zhu, and A.C. Bagtzoglou, Dec 2018: Resilience Assessment of Overhead Power Distribution System under Strong Winds for Hardening Prioritization, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, Vol 4, Issue 4. Link.
Zhang P., Z. Tang, J. Yang, K. Muto, X. Liu, M. Astitha, J.N. Debs, D.A. Ferrante, D. Marcaurele, I.M. Hazlewood, and D. Hedman, PV Extreme Capacity Factor Analysis, IEEE PES General Meeting (under review).
|Books & Chapters|
|Articles||Bartsotas N., E.I. Nikolopoulos, E.N. Anagnostou, S. Solomos, G. Kallos, 2017: Moving towards sub-km modeling grid spacings: Impacts on atmospheric and hydrological simulations of extreme flash-flood inducing storms. Journal of Hydrometeorology, 18 (1), 209-226.|
Cole, T.A., Wanik, D.W., Molthan, A.L., Román, M.O., Griffin, R.E, 2017: Synergistic Use of Nighttime Satellite Data, Electric Utility Infrastructure, and Ambient Population to Improve Power Outage Detections in Urban Areas, Remote Sens. Vol 9, Page 286. Link.
Frediani M., T. Hopson, J. Hacker, E.N. Anagnostou, L. Monache, F. Vandenberg, 2017: Object-Based Analog Forecasts for Surface Wind Speed, Monthly Weather Review, Vol 145 (12), 5083–5102. Link.
Li, Y., P. Zhang, L. Zhang, and B. Wang, 2017: Active synchronous detection of deception attacks in microgrid control systems, IEEE Trans. Smart Grid, Vol 8 (1), 373-375. Link.
Li Y., P. Zhang, W. Li, J. N. Debs, D. A. Ferrante, D. J. Kane, S. N. Woolard, R. Kalbfleisch, and K. B. Bowes, 2017: Non-detection zone analytics for unintentional islanding in distribution grid integrated with distributed energy resources, IEEE Transactions on Sustainable Energy (under review).
Maggioni V., E.I. Nikolopoulos, E.N. Anagnostou and M. Borga, 2017: Modeling satellite precipitation errors over mountainous terrain: the influence of gauge density, seasonality, and temporal resolution, IEEE Transactions on Geosciences and Remote Sensing, Vol 55 (7), 4130-4140. Link.
Mei, Y., E.N. Anagnostou, X. Shen, and E.I. Nikolopoulos, 2017: Decomposing the satellite precipitation error propagation through the rainfall-runoff processes. Advances in Water Resources, Vol 109, 253-266. Link.
Mei Y., X. Shen and E.N. Anagnostou, 2017: A Synthesis of Space-time Variability in Multicomponent Flood Response. Hydrology and Earth System Sciences, vol. 21, pp.2277-2299. Link.
Nikolopoulos E.I., E. Destro, V. Maggioni, F. Marra and M. Borga, 2017: Satellite-rainfall estimates for debris flow prediction: An evaluation based on rainfall accumulation-duration thresholds. Journal of Hydrometeorology, Vol 18 (8), 2207-2214. Link.
Orekan, T., P. Zhang, and C. Shih, 2017: Analysis, design and maximum power efficiency tracking for undersea wireless power transfer, IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol 6 (2), 843-854. Link.
Orekan T., and P. Zhang, 2017: Modelling and maximum power extraction of a novel smart wave energy converter, IEEE Transactions on Industrial Electronics (under review).
Shen, Xinyi, Yiwen Mei and Emmanouil N. Anagnostou, 2017: A Comprehensive Flood Events Database in Continental United States. Bulletin of the American Meteorological Society, Vol 98, 1493–1502. Link.
Shen X., and Emmanouil Anagnostou, 2017 : A Framework to Improve Hyper-Resolution Hydrologic Simulation in Snow-Affected Regions. Journal of Hydrology, Vol 552, 12. Link.
Wanik D., E.N. Anagnostou, M. Astitha, B. M. Hartman, M. E. B. Frediani, G. M. Lackmann, Jichao He, J. Yang, 2017: A Case Study on Power Outage Impacts from Future Hurricane Sandy Scenarios, Journal of Applied Meteorology, Vol 57, 51–79. Link.
Wanik D., J. Parent, E. N. Anagnostou, B. M. Hartman, 2017: Using Vegetation Management and LiDAR-Derived Tree Height Data to Improve Outage Predictions for Electric Utilities. Electric Power Systems Research, Volume 146, Pages 236–245. Link.
Yang, J., M. Astitha, L. Delle Monache, S. Alessandrini, 2017: An Analog technique to improve storm wind speed prediction using a dual NWP model approach. Monthly Weather Review, 146, 4057–4077. Link.
Yang, J., M. Astitha, E. Anagnostou, B. Hartman, 2017: Using a Bayesian regression approach on dual-model weather simulations to improve wind speed prediction. Journal of Applied Meteorology and Climatology, Vol 56, 1155-1174. Link.
Yiwen Mei, Xinyi Shen and Emmanouil N. Anagnostou, 2017: A Synthesis of Space-time Variability in Multi-component Flood Response. Hydrology and Earth System Sciences, Vol 21, 2277-2299. Link.
|Books & Chapters|
|Articles||Frediani, M. E. B., Hacker, J. P., Anagnostou, E. N., Hopson, T., 2016: Evaluation of PBL Parameterizations for Modeling Surface Wind Speed During Storms in the Northeast U.S.. Weather and Forecasting, Vol 31, 1511–1528. Link.|
He J., D. W. Wanik, B. M. Hartman, E. N. Anagnostou, M. Astitha, 2016: Nonparametric Tree-based Predictive Modeling of Storm Damages to Electric Distribution Network, Risk Analysis, Vol 37, 441-458. Link.
Xinyi Shen, Emmanouil N. Anagnostou, Yiwen Mei and Yang Hong, 2016: A Global Distributed Basin Morphometric Dataset. Nature-Scientific Data, Vol 4. Link.
|Books & Chapters|
|Articles||Wanik D., E. N. Anagnostou, B. M. Hartman, M. E. Frediani, M. Astitha, 2015: Storm Outage Modeling for an Electric Distribution Network in Northeastern US. Natural Hazards, Vol 79 (2), 1359-1384. Link.|
|Books & Chapters|